Codex/update prediction api error handling and logging#11
Codex/update prediction api error handling and logging#11teehari79 wants to merge 78 commits intoAEFDI:developfrom
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…lt_detector Add train/predict modes to quick fault detector CLI
…or-wind-turbine-data Add unsupervised behaviour model for turbine sensor anomalies
…m-dataset Add utility for splitting asset CSV datasets
…in-train-mode Add model output customization options for quick fault training
…utation Handle empty numeric columns during imputation
…or-quickfaultdetector Add CLI script to run quick fault detector in predict mode
…utation-o1cbmt Guard preprocessing when time column missing
…-test-file Adjust prediction defaults for wind farm dataset
…ror-reporting Improve missing column error message in ColumnSelector
…rediction-records Add anomaly metadata columns to prediction output
…t-array Handle missing training data in quick fault detection plots
…ds-in-arcana-model Add configuration option to ignore ARCANA features
…-in-predict-method Ensure FaultDetector.predict propagates ignore feature defaults
…ting-issue Preserve ignore feature configuration when loading models
…_predict.py Fix create_events boolean alignment
…er root folder EnergyFaultDetector
…ter.py-for-memory-usage Optimize asset dataset splitter memory usage
…-label-to-predict-mode Add event identifiers to prediction outputs
…-anomaly-detector Fix boolean mask handling in anomaly score fitting
…rror Fix threshold fitting mask alignment
…ng-model-fitting Avoid large allocations when fitting RMSE anomaly score
…ld-fitting-55jy9a Fix quantile threshold selector alignment and tests
…-predictions Add REST prediction API with configurable model registry
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@teehari79 Thank you for the merge request. Could you please add a summary with a list of changes? This PR covers a lot of areas, both refactoring and new features. Would it be possible to split up the changes into:
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@teehari79 The quick_fault_detector does not seem to work with this version anymore. I tested it with the event 44 dataset from the CAREToCompare dataset ( Since the refactoring and bug fixes look promising, I will take a closer look at the individual commits. This will take some time, though. |
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